Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36323
Title: Pre-Grasp Manipulation Planning to Secure Space for Power Grasping
Authors: Baek, Inhyuk
Shin, Kyoosik
Kim, Hyunjun
Hwang, Seunghoon
DEMEESTER, Eric 
Kang, Min-Sung
Issue Date: 2021
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Source: 000725784100001
Abstract: An object can be gripped firmly through power grasping, in which the gripper fingers and palm are wrapped around the object. However, it is difficult to power-grasp an object if it is placed on a support surface and the grasping point is near the support surface. Because there is no gap between the object and the support surface, the gripper fingers and the support surface will collide when the gripper attempts to power-grasp the object. To address this, we propose a pre-grasp manipulation planning method that uses two robot arms, whereby space can be secured for power grasping by rotating the object while being supported against the support surface. The objects considered in this study are appropriately shaped for a power grasp, but power grasping cannot be performed directly because the desired power-grasping location is close to the support surface on which the object is placed. First, to power-grasp the object, candidate rotation axes on the object and in contact with the support surface are derived based on a mesh model of the object. Then, for each such axis, the object pose that allows power grasping is obtained. Finally, according to the obtained object pose, the paths for rotating and power-grasping the object are planned. We evaluate the proposed approach through simulations and experiments using two UR5e robot arms with a 2F-85 gripper.
Notes: Kang, MS (corresponding author), Hanyang Univ, Sch Smart Convergence Engn, Ansan 15588, South Korea.
wowmecha@hanyang.ac.kr
Keywords: Grippers; Grasping; Robots; Planning; Manipulators; Force; Task;analysis; Manipulation planning; power grasp; reorientation; rotation;axis
Document URI: http://hdl.handle.net/1942/36323
ISSN: 2169-3536
e-ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3126829
ISI #: WOS:000725784100001
Rights: This work is licensed under a Creative Commons Attribution 4.0 License.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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